In this paper, a response surface-based FE model updating procedure for civil engineering structures in structural dynamics is presented.
The key issues to implement such a model updating are discussed such as sampling with design of experiments, selecting the significant updating parameters and constructing a quadratic polynomial response surface.
In most cases, a gradient-based optimization strategy will be used.
For nonlinear analysis, more specific methods like response surface modeling, particle swarm optimization, Monte Carlo optimization, and genetic algorithms can be used.
Color graphics are available to visualize these different zones and enable a fast optimization of the parameter selection.The objective function is formed by the residuals between analytical and measured natural frequencies.Single-objective optimization with equal weights of natural frequency residual of each mode is used for optimization computation.Finite-element-model updating techniques are then reviewed and these can be broadly categorized into: matrix update methods, sensitivity-based techniques, iterative optimization procedures, Bayesian methods and computational intelligence techniques.Computational intelligence technques, which are the subject of this book, are then reviewed in detail.